Model

PluralSight – Build an Image Recognition Model 2026

PluralSight – Build an Image Recognition Model 2026
English | Tutorial | Size: 171.64 MB


Image classification is critical across industries but often requires time-intensive manual analysis. This course will teach you to build and deploy convolutional neural networks for real-world image recognition tasks.

PluralSight – Model Evaluation and Interpretation with Generative AI 2026

PluralSight – Model Evaluation and Interpretation with Generative AI 2026
English | Tutorial | Size: 193.96 MB


Machine learning models can be powerful but hard to interpret. This course will teach you how to use Generative AI to evaluate, interpret, and communicate model performance with clarity and fairness.

PluralSight – Amazon Bedrock Parameters and Model Behavior 2026

PluralSight – Amazon Bedrock Parameters and Model Behavior 2026
English | Tutorial | Size: 143.93 MB


Configure Amazon Bedrock foundation models for production use. This course will teach you to select models, tune inference parameters, structure prompts, and optimize token costs.

PluralSight – (Generative AI Leader) Techniques to Improve GenAI Model Output 2026

PluralSight – (Generative AI Leader) Techniques to Improve GenAI Model Output 2026
English | Tutorial | Size: 160.84 MB


Generative AI models require structure and oversight to deliver reliable business results. This course will teach you to design, optimize, and govern GenAI systems for accurate, grounded, and enterprise-ready output.

Linkedin Learning – Model Context Protocol-Advanced Topics By Anthropic

Linkedin Learning – Model Context Protocol-Advanced Topics By Anthropic
English | Tutorial | Size: 155.61 MB


This course examines advanced features and implementation patterns for Model Context Protocol (MCP) development, focusing on server-client communication, transport mechanisms, and production deployment considerations.